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dc.contributor.authorOlsen, Cen
dc.contributor.authorPandeya, Nen
dc.contributor.authorThompson, Ben
dc.contributor.authorDusingize, Jen
dc.contributor.authorWebb, Pen
dc.contributor.authorGreen, Adele Cen
dc.contributor.authorNeale, Ren
dc.contributor.authorWhiteman, Den
dc.date.accessioned2018-04-15T17:10:56Z
dc.date.available2018-04-15T17:10:56Z
dc.date.issued2018-03-11
dc.identifier.citationRisk stratification for melanoma: models derived and validated in a purpose-designed prospective cohort. 2018, J Natl Cancer Insten
dc.identifier.issn1460-2105
dc.identifier.pmid29538697
dc.identifier.doi10.1093/jnci/djy023
dc.identifier.urihttp://hdl.handle.net/10541/620884
dc.description.abstractRisk stratification can improve the efficacy and cost-efficiency of screening programs for early detection of cancer. We sought to derive a risk stratification tool for melanoma that was suitable for the general population using only self-reported information.
dc.language.isoenen
dc.rightsArchived with thanks to Journal of the National Cancer Instituteen
dc.titleRisk stratification for melanoma: models derived and validated in a purpose-designed prospective cohort.en
dc.typeArticleen
dc.contributor.departmentDepartment of Population Health, QIMR Berghofer Medical Research Institute, Queensland, Australiaen
dc.identifier.journalJournal of the National Cancer Instituteen
html.description.abstractRisk stratification can improve the efficacy and cost-efficiency of screening programs for early detection of cancer. We sought to derive a risk stratification tool for melanoma that was suitable for the general population using only self-reported information.


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